s all about the old idea of taking a sound input and producing images
from it. our approach is mostly interested in finding algorithms that
perform a transformation of the original data into a different
representation space. the hope is to find such spaces together with
appropriate basis functions that will result in representations that
are aesthetically meaningful and interesting.
|samples taken from a concert by marcus schmickler at batofar, paris may 23,1999.
click on the above images to load the corresponding quicktime movie sample.
above movie samples were obtained using a program that performs a
one-dimensional windowed fft on the sampled sound input. 16
frequency-bands with a range of one byte are computed. these values are
the input to a variety of algorithms, which range from graphing
routines to parametric animations of sampled images. we have also used
hidden markov models that were trained offline on the sound input and
whose hideen states were used to generate images during the performance.
contact: constantin rothkopf.
|last updated nov. 23, 2001|